Statistics: The Art and Science of Learning from Data (4th Edition)
Statistics: The Art and Science of Learning from Data (4th Edition)
4th Edition
ISBN: 9780321997838
Author: Alan Agresti, Christine A. Franklin, Bernhard Klingenberg
Publisher: PEARSON
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Chapter 13.6, Problem 59PB

a.

To determine

Prove that the estimated value of the probability of a death penalty is 0.233, for a black defendant and a white victim.

b.

To determine

Construct a table that would cross-classify the race of a defendant by the race of a victim. Display the estimated death penalty probability for the cells.

Interpret the effect of the race of the defendant.

c.

To determine

Explain Simpson’s paradox by studying the changes in the previous observations, when the contingency table is collapsed on the race of the victim.

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For each of the time​ series, construct a line chart of the data and identify the characteristics of the time series​ (that is,​ random, stationary,​ trend, seasonal, or​ cyclical). Year    Month    Rate (%)2009    Mar    8.72009    Apr    9.02009    May    9.42009    Jun    9.52009    Jul    9.52009    Aug    9.62009    Sep    9.82009    Oct    10.02009    Nov    9.92009    Dec    9.92010    Jan    9.82010    Feb    9.82010    Mar    9.92010    Apr    9.92010    May    9.62010    Jun    9.42010    Jul    9.52010    Aug    9.52010    Sep    9.52010    Oct    9.52010    Nov    9.82010    Dec    9.32011    Jan    9.12011    Feb    9.02011    Mar    8.92011    Apr    9.02011    May    9.02011    Jun    9.12011    Jul    9.02011    Aug    9.02011    Sep    9.02011    Oct    8.92011    Nov    8.62011    Dec    8.52012    Jan    8.32012    Feb    8.32012    Mar    8.22012    Apr    8.12012    May    8.22012    Jun    8.22012    Jul    8.22012    Aug    8.12012    Sep    7.82012    Oct…
For each of the time​ series, construct a line chart of the data and identify the characteristics of the time series​ (that is,​ random, stationary,​ trend, seasonal, or​ cyclical). Date    IBM9/7/2010    $125.959/8/2010    $126.089/9/2010    $126.369/10/2010    $127.999/13/2010    $129.619/14/2010    $128.859/15/2010    $129.439/16/2010    $129.679/17/2010    $130.199/20/2010    $131.79 a. Construct a line chart of the closing stock prices data. Choose the correct chart below.
For each of the time​ series, construct a line chart of the data and identify the characteristics of the time series​ (that is,​ random, stationary,​ trend, seasonal, or​ cyclical) Date    IBM9/7/2010    $125.959/8/2010    $126.089/9/2010    $126.369/10/2010    $127.999/13/2010    $129.619/14/2010    $128.859/15/2010    $129.439/16/2010    $129.679/17/2010    $130.199/20/2010    $131.79

Chapter 13 Solutions

Statistics: The Art and Science of Learning from Data (4th Edition)

Ch. 13.1 - Used cars The following data (also available from...Ch. 13.2 - Predicting sports attendance Keeneland Racetrack...Ch. 13.2 - Predicting weight Lets use multiple regression to...Ch. 13.2 - Prob. 14PBCh. 13.2 - Price of used cars For the 19 used cars listed in...Ch. 13.2 - Prob. 16PBCh. 13.2 - Softball data For the Softball data set on the...Ch. 13.2 - Slopes, correlations, and units In Example 2 on y...Ch. 13.2 - Predicting college GPA Using software with the...Ch. 13.3 - Predicting GPA For the 59 observations in the...Ch. 13.3 - Study time help GPA? Refer to the previous...Ch. 13.3 - Variability in college GPA Refer to the previous...Ch. 13.3 - Does leg press help predict body strength? Chapter...Ch. 13.3 - Prob. 24PBCh. 13.3 - Interpret strength variability Refer to the...Ch. 13.3 - Any predictive power? Refer to the previous three...Ch. 13.3 - Predicting pizza revenue Aunt Ermas Pizza...Ch. 13.3 - Prob. 28PBCh. 13.3 - Mental health again Refer to the previous...Ch. 13.3 - Prob. 30PBCh. 13.3 - House prices Use software to do further analyses...Ch. 13.4 - Body weight residuals Examples 47 used multiple...Ch. 13.4 - Strength residuals In Chapter 12, we analyzed...Ch. 13.4 - Prob. 34PBCh. 13.4 - Nonlinear effects of age Suppose you fit a...Ch. 13.4 - Prob. 36PBCh. 13.4 - Why inspect residuals? When we use multiple...Ch. 13.4 - College athletes The College Athletes data set on...Ch. 13.4 - House prices Use software with the House Selling...Ch. 13.4 - Prob. 40PBCh. 13.5 - U.S. and foreign used cars Refer to the used car...Ch. 13.5 - Prob. 42PBCh. 13.5 - Predict using house size and condition For the...Ch. 13.5 - Quality and productivity The table shows data from...Ch. 13.5 - Predicting hamburger sales A chain restaurant that...Ch. 13.5 - Prob. 46PBCh. 13.5 - House size and garage interact? Refer to the...Ch. 13.5 - Prob. 48PBCh. 13.5 - Comparing sales You own a gift shop that has a...Ch. 13.6 - Prob. 50PBCh. 13.6 - Prob. 51PBCh. 13.6 - Prob. 52PBCh. 13.6 - Prob. 53PBCh. 13.6 - Prob. 54PBCh. 13.6 - Prob. 55PBCh. 13.6 - Prob. 56PBCh. 13.6 - Prob. 57PBCh. 13.6 - Prob. 58PBCh. 13.6 - Prob. 59PBCh. 13 - House prices This chapter has considered many...Ch. 13 - Prob. 61CPCh. 13 - Prob. 62CPCh. 13 - Prob. 63CPCh. 13 - Prob. 64CPCh. 13 - Prob. 65CPCh. 13 - Prob. 66CPCh. 13 - Prob. 67CPCh. 13 - Prob. 68CPCh. 13 - Prob. 69CPCh. 13 - AIDS and AZT In a study (reported in the New York...Ch. 13 - Factors affecting first home purchase The table...Ch. 13 - Unemployment and GDP Refer to Exercise 13.67. When...Ch. 13 - Prob. 75CPCh. 13 - Prob. 76CPCh. 13 - Prob. 77CPCh. 13 - Prob. 78CPCh. 13 - Prob. 79CPCh. 13 - True or false: Slopes For data on y = college GPA,...Ch. 13 - Prob. 81CPCh. 13 - Lurking variable Give an example of three...Ch. 13 - Prob. 83CPCh. 13 - Prob. 84CPCh. 13 - Prob. 85CPCh. 13 - Logistic versus linear For binary response...Ch. 13 - Prob. 87CPCh. 13 - Prob. 88CPCh. 13 - Prob. 89CPCh. 13 - Prob. 90CPCh. 13 - Prob. 91CPCh. 13 - Prob. 92CPCh. 13 - Prob. 93CP
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